Imagery based BMI system for people with paralysis
Researchers from a multi-institutional team led by the lab of Woon-Hong Yeo at the Georgia Institute of Technology introduce a new wearable brain-machine interface (BMI) system that combines wireless soft scalp electronics and virtual reality. It allows the user to think action and wirelessly controls a wheelchair or robotic arm. The system is of great advantage for people with motor dysfunction or paralysis. “The major advantage of this system to the user, compared to what currently exists, is that it is soft and comfortable to wear, and doesn’t have any…